The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Statistical classification and regression have been popular among various fields and stayed in the limelight of scientists of those fields. Examples of the fields include clinical trials where the statistical classification of patients is indispensable to predict the clinical courses of diseases. Considering the negative impact of diseases on performing daily tasks, correctly classifying patients based on the clinical information is vital in that we need to identify patients of the high-risk group to develop a severe state and arrange medical treatment for them at an opportune moment. Deep learning - a part of artificial intelligence - has gained much attention, and research on it burgeons during past decades: see, e.g, Kazemi and Mirroshandel (2018) <doi:10.1016/j.artmed.2017.12.001>. It is a veritable technique which was originally designed for the classification, and hence, the Buddle package can provide sublime solutions to various challenging classification and regression problems encountered in the clinical trials. The Buddle package is based on the back-propagation algorithm - together with various powerful techniques such as batch normalization and dropout - which performs a multi-layer feed-forward neural network: see Krizhevsky et. al (2017) <doi:10.1145/3065386>, Schmidhuber (2015) <doi:10.1016/j.neunet.2014.09.003> and LeCun et al. (1998) <doi:10.1109/5.726791> for more details. This package contains two main functions: TrainBuddle() and FetchBuddle(). TrainBuddle() builds a feed-forward neural network model and trains the model. FetchBuddle() recalls the trained model which is the output of TrainBuddle(), classifies or regresses given data, and make a final prediction for the data.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 0.12.17), plyr, stats, graphics |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2020-02-13 |
| DOI: | 10.32614/CRAN.package.Buddle |
| Author: | Jiwoong Kim <jwboys26 at gmail.com> |
| Maintainer: | Jiwoong Kim <jwboys26 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | Buddle results |
| Reference manual: | Buddle.pdf |
| Package source: | Buddle_2.0.1.tar.gz |
| Windows binaries: | r-devel: Buddle_2.0.1.zip, r-release: Buddle_2.0.1.zip, r-oldrel: Buddle_2.0.1.zip |
| macOS binaries: | r-release (arm64): Buddle_2.0.1.tgz, r-oldrel (arm64): Buddle_2.0.1.tgz, r-release (x86_64): Buddle_2.0.1.tgz, r-oldrel (x86_64): Buddle_2.0.1.tgz |
| Old sources: | Buddle archive |
Please use the canonical form https://CRAN.R-project.org/package=Buddle to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.